28 août 2017
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
Vito Vincenzo Covella et al., « Lacam&Int@UNIBA at the EVALITA 2016-SENTIPOLC Task », Accademia University Press, ID : 10.4000/books.aaccademia.2004
This paper describes our first experience of participation at the EVALITA challenge. We participated only to the SENTIPOLC Sentiment Polarity subtask and, to this purpose we tested two systems, both developed for a generic Text Categorization task, in the context of the sentiment analysis: SentimentWS and SentiPy. Both were developed according to the same pipeline, but using different feature sets and classification algorithms. The first system does not use any resource specifically developed for the sentiment analysis task. The second one, which had a slightly better performance in the polarity detection subtask, was enriched with an emoticon classifier in order to fit better the purpose of the challenge.